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Height Prediction and 3D Visualization of Mining-Induced Water-Conducting Fracture Zone in Western Ordos Basin Based on a Multi-Factor Regression Analysis

Author

Listed:
  • Huiyong Yin

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Fangying Dong

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Yiwen Zhang

    (Shuifa Planning and Designing Co., Ltd., Jinan 250100, China)

  • Wenju Cheng

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Peihe Zhai

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Xuyan Ren

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Ziang Liu

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China)

  • Yutao Zhai

    (Hebei Coal Research Institute Corporation Co., Ltd., Xingtai 054000, China)

  • Xin Li

    (Ningxia Coal Science and Technology Research Institute Co., Ltd., Ningxia 750004, China)

Abstract

The mining-induced water-conducting fracture zone (WCFZ) plays a critical role in roof water damage prevention and ecological protection. The measured heights of the WCFZ were collected from 52 working faces or boreholes in the Ordos Basin mining area. Four factors influencing the mining-induced height of the WCFZ, i.e., mining thickness, proportion coefficient of hard rock, working width, and mining depth, were analyzed. The optimal unitary function model of each factor and the height of the WCFZ were obtained through single-factor analysis. The grey correlation method and fuzzy ordered binary comparison method were used to determine the comprehensive weight, and the weighted improved multiple regression model was obtained by combination and iteration. The relative error of the model was basically controlled within 10%. Finally, taking the Qingshuiying Coalfield as an application case, we predicted the mining-induced height of the WCFZ by using the new prediction model. The spatial distribution characteristics of the WCFZ were analyzed by the geographic information system. In addition, Groundwater Modeling System (GMS) software was used to build a 3D structure model of WCFZ height to visualize the spatial distribution rules of the WCFZ. The results showed that the height of the WCFZ can be predicted quantitatively by this new method, and the visualization of the WCFZ can be realized. The proposed method effectively analyzes and predicts the mining-induced height of the WCFZ so that water gushing risks from overlying aquifers can be prevented or mitigated in mines.

Suggested Citation

  • Huiyong Yin & Fangying Dong & Yiwen Zhang & Wenju Cheng & Peihe Zhai & Xuyan Ren & Ziang Liu & Yutao Zhai & Xin Li, 2022. "Height Prediction and 3D Visualization of Mining-Induced Water-Conducting Fracture Zone in Western Ordos Basin Based on a Multi-Factor Regression Analysis," Energies, MDPI, vol. 15(11), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3850-:d:822454
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    References listed on IDEAS

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    1. Feng Du & Rui Gao, 2017. "Development Patterns of Fractured Water-Conducting Zones in Longwall Mining of Thick Coal Seams—A Case Study on Safe Mining Under the Zhuozhang River," Energies, MDPI, vol. 10(11), pages 1-16, November.
    2. Wen-chuan Wang & Dong-mei Xu & Kwok-wing Chau & Guan-jun Lei, 2014. "Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4183-4200, September.
    3. Wen Zhai & Wei Li & Yanli Huang & Shenyang Ouyang & Kun Ma & Junmeng Li & Huadong Gao & Peng Zhang, 2020. "A Case Study of the Water Abundance Evaluation of Roof Aquifer Based on the Development Height of Water-Conducting Fracture Zone," Energies, MDPI, vol. 13(16), pages 1-16, August.
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    Cited by:

    1. Liyang Bai & Changlong Liao & Changxiang Wang & Meng Zhang & Fanbao Meng & Mingjin Fan & Baoliang Zhang, 2022. "Study on Height Prediction of Water Flowing Fractured Zone in Deep Mines Based on Weka Platform," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    2. Ziwei Ding & Shaoyi Wang & Jinglong Liao & Liang Li & Jindui Jia & Qingbao Tang & Xiaofei Li & Chengdeng Gao, 2023. "Reasonable Working-Face Size Based on Full Mining of Overburden Failure," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    3. Dong, Fangying & Yin, Huiyong & Cheng, Wenju & Zhang, Chao & Zhang, Danyang & Ding, Haixiao & Lu, Chang & Wang, Yin, 2024. "Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection," Energy, Elsevier, vol. 290(C).

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